Reference:Reference-030732: Difference between revisions
From CSDMS
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|Title=On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models | |Title=On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models | ||
|Year=2021 | |Year=2021 | ||
|Journal= | |Journal= | ||
|Booktitle=Euro-Par 2020: Parallel Processing Workshops | |Booktitle=Euro-Par 2020: Parallel Processing Workshops | ||
|Volume=12480 | |Volume=12480 | ||
|Pages=249–260 | |Pages=249–260 | ||
|URL=https://link.springer.com/10.1007/978-3-030-71593-9_20 | |URL=https://link.springer.com/10.1007/978-3-030-71593-9_20 | ||
|DOI= | |DOI= | ||
|Note=Auto downloaded ref at: 2024-09-08 | |Note=Auto downloaded ref at: 2024-09-08 | ||
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Latest revision as of 15:16, 12 November 2024
| Author(s) | Balis, Bartosz; B. Heras, Dora; Antonelli, Laura; Bracciali, Andrea; Gruber, Thomas; Hyun-Wook, Jin; Kuhn, Michael; Scott, Stephen L.; Unat, Didem; Wyrzykowski, Roman; Tufek, Alper; Aktas, Mehmet S.; |
| BibType | bookSection |
| Title | On the Provenance Extraction Techniques from Large Scale Log Files: A Case Study for the Numerical Weather Prediction Models |
| Editors | |
| Year | 2021 |
| Journal | |
| Booktitle | Euro-Par 2020: Parallel Processing Workshops |
| Volume | 12480 |
| Pages | 249–260 |
| URL | https://link.springer.com/10.1007/978-3-030-71593-9_20 |
| DOI | |
| ISBN | |
| Note | Auto downloaded ref at: 2024-09-08
|
| |
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| Feature reference | No |
| PublicationClusterID | 0 |
| MS_PublicationClusterID | 0 |
| Semantic_ID | b0abe75459d518928a6faa7b9ece7594a3b0410d |
| Nr of citations | 3 |
| Sort of publication | a module application description |
| Sort of model publication | a single module |
| Is the CSDMS HPC used | No |
| If HPC is used, for what project was it?: | |
| Associated simulation movie if any: |
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| Model(s) discussed: | WRF
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